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Efektywność publicznych i prywatnych szkół wyższych w Polsce

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  • Brzezicki, Łukasz

Abstract

Changes introduced to Poland’s education system in 2011 and 2014 amid efforts to adjust it to the needs of the labour market had an effect on the country’s institutions of higher learning. This paper provides an analysis of the efficiency of public and private Polish universities and examines the impact of selected factors in the years that followed. To estimate this efficiency, a Banker, Charnes and Cooper (BCC) model of the Data Envelopment Analysis (DEA) method was used. To gauge the impact of environmental variables on the efficiency of universities, a truncated regression analysis was performed. The results of the study indicate that public universities were more efficient in terms of the number of graduates they produced but less efficient when considering the level of graduate salaries. The opposite was true for private institutions. The level of efficiency was affected by variables related to specific universities and the socio-economic situation of the region in which they operate. The study analyses the efficiency of educational activities of public and private universities, both in terms of the number of graduates and the quality of education and in the context of the labour market. The analysis also considers the level of graduate earnings.

Suggested Citation

  • Brzezicki, Łukasz, 2020. "Efektywność publicznych i prywatnych szkół wyższych w Polsce," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2020(4), December.
    • Handle: RePEc:ags:polgne:310166
    DOI: 10.22004/ag.econ.310166
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    References listed on IDEAS

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    4. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    5. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
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    Cited by:

    1. Marek Rocki, 2023. "Kategoryzacja kierunków studiów w świetle danych o trzech rocznikach absolwentów," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 71-91.
    2. Anis Mardiana Ahmad & Noor Saifurina Nana Khurizan, 2024. "Data Envelopment Analysis and Higher Education: A Systematic Review of the 2018–2022 Literature and Bibliometric Analysis of the Past 30 Years of Literature," SAGE Open, , vol. 14(3), pages 21582440241, September.
    3. Marta Dziechciarz, 2024. "Panel Data Analysis of Subjective Well-Being in European Countries in the Years 2013–2022," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    4. Muammer Maral & Münevver Çetin, 2024. "Teaching, research, and third mission efficiency of universities: A data envelopment analysis and hybrid multi‐criteria decision‐making approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2171-2188, June.

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